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Authors: Oleg Granichin 1 ; Petr Skobelev 2 ; Alexander Lada 2 ; Igor Mayorov 2 and Alexander Tsarev 2

Affiliations: 1 Saint Petersburg State University, Russian Federation ; 2 Software Engineering Company «Smart Solutions» and Ltd., Russian Federation

ISBN: 978-989-8565-33-4

Keyword(s): Multi-agent Systems, Adaptive Scheduling, Trucks, Cargo Transportation, Simulation, Real-time, Mobile Resources.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Co-Evolution and Collective Behavior ; Computational Intelligence ; Evolutionary Computing ; Evolutionary Robotics and Intelligent Agents ; Soft Computing ; Swarm/Collective Intelligence

Abstract: The application of multi-agent platform for real-time adaptive scheduling of trucks is considered. In case of unpredictable events the system works adaptively and doesn’t stop to restart the plan from the beginning. Different models of cargo transportation for truck companies having own fleet are analysed. The results show that using adaptive scheduling in real time it is possible to create significantly more profitable schedules (up to 40-60% compared with rigid models) and save a number of trucks (up to 20%) for the same amount of orders.

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Paper citation in several formats:
Granichin, O.; Skobelev, P.; Lada, A.; Mayorov, I. and Tsarev, A. (2012). Comparing Adaptive and Non-adaptive Models of Cargo Transportation in Multi-agent System for Real Time Truck Scheduling.In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 282-285. DOI: 10.5220/0004148602820285

@conference{ecta12,
author={Oleg Granichin. and Petr Skobelev. and Alexander Lada. and Igor Mayorov. and Alexander Tsarev.},
title={Comparing Adaptive and Non-adaptive Models of Cargo Transportation in Multi-agent System for Real Time Truck Scheduling},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)},
year={2012},
pages={282-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004148602820285},
isbn={978-989-8565-33-4},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2012)
TI - Comparing Adaptive and Non-adaptive Models of Cargo Transportation in Multi-agent System for Real Time Truck Scheduling
SN - 978-989-8565-33-4
AU - Granichin, O.
AU - Skobelev, P.
AU - Lada, A.
AU - Mayorov, I.
AU - Tsarev, A.
PY - 2012
SP - 282
EP - 285
DO - 10.5220/0004148602820285

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